Pay
In line with similar jobs
$160K–$185K against $127K–$190K, the middle half of what similar US postings state.
From 2,239 postings in the last year. Stated ranges, not salaries paid.
Data Integration Engineer
Reston, VA
Live, first seen by us 60 days ago- Pay
$160,000–185,000/yearAnnual period assumed — pay source
Experience with Azure, AWS, or hybrid cloud environments. Salary range for this opening $160-185K #CJ The Red Arch Solutions pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Determination of official compensation or salary relies on several factors including, but not limited to, level of position, job responsibilities, geographic location, scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements, alignment with local internal equity as well as alignment with market data.
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign and build ETL/ELT data pipelines
Develop APIs and data integration services
Perform data mapping and transformation activities
Implement automated data ingestion processes
Monitor and optimize data processing performance
From the employer’s posting
Design and build ETL/ELT data pipelines.
Develop APIs and data integration services.
Perform data mapping and transformation activities.
Implement automated data ingestion processes.
Monitor and optimize data processing performance.
What you’ll bring
All qualificationsCore experience
- 12+ years of data engineering experience
- Python and SQL
- ETL/ELT and API development
- Azure Data Factory and Databricks
- Experience working with Data Governance, Data Stewardship, Metadata, and Security teams
Qualification wording
12+ years of data engineering experience
Python SQL ETL/ELT Development API Development Azure Data Factory Databricks Data Modeling Cloud Data Platforms Data Validation and Testing
ETL/ELT Development API Development
Azure Data Factory Databricks
Experience working closely with Data Governance, Data Stewardship, Metadata, and Security teams to ensure compliance with data standards and governance requirements is required.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 14, 202660 days ago
- Recorded sightings
- 79
- Last seen by us
- Nov 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 60
Up longer than most. Similar jobs usually come down between day 6 and day 56.
From 13,630 similar postings that came down. Coming down is not always a hire.
Red Arch Solutions is hiring
12 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- Its jobs tend to stay up a long time
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Azure
- Databricks
Where the posting names them
- Collaborate with governance teams to ensure compliance standards are met. Required Skills- Python - SQL
Required Skills- Python - SQL - ETL/ELT Development
- 12+ years of data engineering experience. - Experience with Azure, AWS, or hybrid cloud environments. Salary range for this opening $160-185K #CJ
- API Development - Azure Data Factory - Databricks
- Azure Data Factory - Databricks - Data Modeling
Your next step
Complete your application on redarchsolutions.applytojob.com. The employer’s form will show what is required.
Applying through JazzHR
- No account needed: one application form on the employer’s applytojob.com page.
Already applied? Track this application
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Position Summary
The Data Integration Engineer designs, develops, and maintains data integration solutions and pipelines that support enterprise analytics, data sharing, and operational reporting.
The candidate shall have experience performing data mapping, transformation, normalization, and data quality validation activities to support enterprise analytics, reporting, operational, and mission requirements. The candidate should possess strong knowledge of data integration patterns, data lifecycle management, and modern cloud-based data architecture.
The candidate shall demonstrate experience supporting data onboarding initiatives, including source system analysis, requirements collection, interface design, integration development, testing, and operational deployment. Experience working closely with Data Governance, Data Stewardship, Metadata, and Security teams to ensure compliance with data standards and governance requirements is required.
The candidate shall possess experience implementing metadata capture, lineage tracking, tagging, and classification capabilities within data ingestion and processing workflows. Experience supporting enterprise data catalogs and metadata management initiatives is highly desired.
Key Responsibilities
The Data Integration Engineer designs, develops, and maintains data integration solutions and pipelines that support enterprise analytics, data sharing, and operational reporting.
The candidate shall have experience performing data mapping, transformation, normalization, and data quality validation activities to support enterprise analytics, reporting, operational, and mission requirements. The candidate should possess strong knowledge of data integration patterns, data lifecycle management, and modern cloud-based data architecture.
The candidate shall demonstrate experience supporting data onboarding initiatives, including source system analysis, requirements collection, interface design, integration development, testing, and operational deployment. Experience working closely with Data Governance, Data Stewardship, Metadata, and Security teams to ensure compliance with data standards and governance requirements is required.
The candidate shall possess experience implementing metadata capture, lineage tracking, tagging, and classification capabilities within data ingestion and processing workflows. Experience supporting enterprise data catalogs and metadata management initiatives is highly desired.
Key Responsibilities
- Design and build ETL/ELT data pipelines.
- Develop APIs and data integration services.
- Perform data mapping and transformation activities.
- Implement automated data ingestion processes.
- Monitor and optimize data processing performance.
- Support cloud-based data architectures.
- Document data lineage and integration workflows.
- Collaborate with governance teams to ensure compliance standards are met.
- Python
- SQL
- ETL/ELT Development
- API Development
- Azure Data Factory
- Databricks
- Data Modeling
- Cloud Data Platforms
- Data Validation and Testing
- Bachelor’s degree in computer science or related discipline.
- 12+ years of data engineering experience.
- Experience with Azure, AWS, or hybrid cloud environments.
The Red Arch Solutions pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Determination of official compensation or salary relies on several factors including, but not limited to, level of position, job responsibilities, geographic location, scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements, alignment with local internal equity as well as alignment with market data.
Red Arch Solutions Benefits Snapshot:
- 100% paid employee healthcare premiums. CareFirst Advantage Best in Class Benefits.
- HaloScripts Concierge prescription medication service
- Generous PTO.
- 10 % 401K 6% match vested day one and up to 4% profit sharing contribution.
- Annualized bonus compensation.
- Spot bonuses for hard work.
- Tuition reimbursement.
- 529 College Saving Plan.
- College Loan Pay Back Program.
- 11 Paid Federal Holidays
- Generous Referral Bonuses.
Red Arch Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
Have more questions about Red Arch? Email us at Careers@RedArchSolutions.com
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Experience with Azure, AWS, or hybrid cloud environments. Salary range for this opening $160-185K #CJ The Red Arch Solutions pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Determination of official compensation or salary relies on several factors including, but not limited to, level of position, job responsibilities, geographic location, scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements, alignment with local internal equity as well as alignment with market data.
- Location & working pattern
Reston, VA
- 12+ years of data engineering experience. - Experience with Azure, AWS, or hybrid cloud environments. Salary range for this opening $160-185K #CJ
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.